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MWC 2019: AI

It’s difficult to think of an industry that hasn’t been touched by AI. The benefits include an ability to analyse huge amounts of data, looking for discrepancies and trends, and providing insights in a very short timeframe. From medical science and the early detection of disease, to accelerating financial workflows such as lending approvals, AI has delivered clear benefits to the organisations that make use of it.

And it’s AI that makes sure we present our customers with the right offers in our loyalty programme, Priority. As we move towards the launch of our 5G network, we’ll see a step change in the number of devices coming online. It will allow for even more localised information as we connect a greater number of IoT and m2m devices than ever before.

But even though AI is a process driven activity it’s always important to consider the people factor. There is the issue of an individual’s ownership of the data being derived, as well as the HR needs for organisations looking to embrace AI. And this people factor also extends to the bias that can be introduced when initially programming the logic threads, or the quality of the information being imported for analysis. No matter how you look at it, people have a significant impact on the ways AI can be used.

Below is a summary of some of our latest articles related to how we think AI can support UK organisations, as well as how we use it ourselves at O2 to improve the services we provide and make better strategic and operational decisions.

Smart Cities: what do they mean for you and me?

Matt Denby, Client Director to Transport for London for O2, discusses the benefits that smart cities will bring to their citizens, and when we can expect to see them.

 

In September, O2 published a series of posts that consider the impact AI will have on the way that businesses collect, analyse and maximise insight from data:

Data and AI – A match made it heaven or a cause for concern.

What does the future of Big Data look like?

Big data is as much around the people you hire as the data itself.

 

 



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